Articles | Volume 35, issue 1
Research article
17 Jan 2023
Research article |  | 17 Jan 2023

Shear properties of MgO inferred using neural networks

Ashim Rijal, Laura Cobden, Jeannot Trampert, Hauke Marquardt, and Jennifer M. Jackson

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Cited articles

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Short summary
Using neural networks with experimental data, we infer the relationship between pressure, temperature and shear properties of MgO. Fixing the form of the relationship, which is a common practice, provides the properties that are largely constrained by the form and not the data. Our approach provides realistic uncertainties in shear properties, which should improve uncertainty quantification in interpretations of observed shear wave speed to infer the structure and dynamics of the Earth’s mantle.